jaluma / arabert-all-nli-triplet-matryoshka

embedding

20 2 months ago

1 Tag
... /
model
2f582acb28c9 · 540MB
    Metadata
  • bert.attention.causal
    false
  • bert.attention.head_count
    12
  • bert.attention.layer_norm_epsilon
    1e-12
  • bert.block_count
    12
  • bert.context_length
    512
  • bert.embedding_length
    768
  • bert.feed_forward_length
    3072
  • bert.pooling_type
    1
  • general.architecture
    bert
  • general.base_model.0.name
    Bert Base Arabertv02
  • general.base_model.0.organization
    Aubmindlab
  • general.base_model.0.repo_url
    https://huggingface.co/aubmindlab/bert-base-arabertv02
  • general.base_model.count
    1
  • general.datasets
    [Omartificial-Intelligence-Space/Arabic-NLi-Triplet]
  • general.file_type
    0
  • general.languages
    [ar]
  • general.license
    apache-2.0
  • general.name
    Bert Base Arabertv02
  • general.organization
    Aubmindlab
  • general.quantization_version
    2
  • general.size_label
    135M
  • general.tags
    [mteb, transformers, sentence-transformers, sentence-similarity, feature-extraction, ...]
  • general.type
    model
  • tokenizer.ggml.cls_token_id
    2
  • tokenizer.ggml.mask_token_id
    4
  • tokenizer.ggml.model
    bert
  • tokenizer.ggml.padding_token_id
    0
  • tokenizer.ggml.pre
    arabert2
  • tokenizer.ggml.seperator_token_id
    3
  • tokenizer.ggml.token_type
    [3, 3, 3, 3, 3, ...]
  • tokenizer.ggml.token_type_count
    2
  • tokenizer.ggml.tokens
    [[PAD], [UNK], [CLS], [SEP], [MASK], ...]
  • tokenizer.ggml.unknown_token_id
    1
    • Tensor
  • Name
    Type
    Shape
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    F32
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    F32
    [768]
  • blk.0.attn_output.weight
    F32
    [768, 768]
  • blk.0.attn_output_norm.bias
    F32
    [768]
  • blk.0.attn_output_norm.weight
    F32
    [768]
  • blk.0.attn_q.bias
    F32
    [768]
  • blk.0.attn_q.weight
    F32
    [768, 768]
  • blk.0.attn_v.bias
    F32
    [768]
  • blk.0.attn_v.weight
    F32
    [768, 768]
  • blk.0.ffn_down.bias
    F32
    [768]
  • blk.0.ffn_down.weight
    F32
    [3072, 768]
  • blk.0.ffn_up.bias
    F32
    [3072]
  • blk.0.ffn_up.weight
    F32
    [768, 3072]
  • blk.0.layer_output_norm.bias
    F32
    [768]
  • blk.0.layer_output_norm.weight
    F32
    [768]
    • blk.1
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    F32
    [768]
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    F32
    [768, 768]
  • blk.1.attn_output.bias
    F32
    [768]
  • blk.1.attn_output.weight
    F32
    [768, 768]
  • blk.1.attn_output_norm.bias
    F32
    [768]
  • blk.1.attn_output_norm.weight
    F32
    [768]
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    F32
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  • blk.1.attn_q.weight
    F32
    [768, 768]
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    F32
    [768]
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    F32
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  • blk.1.ffn_down.bias
    F32
    [768]
  • blk.1.ffn_down.weight
    F32
    [3072, 768]
  • blk.1.ffn_up.bias
    F32
    [3072]
  • blk.1.ffn_up.weight
    F32
    [768, 3072]
  • blk.1.layer_output_norm.bias
    F32
    [768]
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    F32
    [768]
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    F32
    [768]
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    F32
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    F32
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    F32
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    F32
    [768]
  • blk.2.attn_output_norm.weight
    F32
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    F32
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    F32
    [768]
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    F32
    [768, 768]
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    F32
    [768]
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    F32
    [3072, 768]
  • blk.2.ffn_up.bias
    F32
    [3072]
  • blk.2.ffn_up.weight
    F32
    [768, 3072]
  • blk.2.layer_output_norm.bias
    F32
    [768]
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    F32
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    F32
    [768]
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
    [768, 768]
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    F32
    [768]
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    F32
    [3072, 768]
  • blk.3.ffn_up.bias
    F32
    [3072]
  • blk.3.ffn_up.weight
    F32
    [768, 3072]
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    F32
    [768]
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    F32
    [768]
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    F32
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    F32
    [768]
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    F32
    [768]
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    F32
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    F32
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    F32
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    F32
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    F32
    [768]
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    F32
    [768, 768]
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    F32
    [768]
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    F32
    [768, 768]
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    F32
    [768]
  • blk.5.ffn_down.weight
    F32
    [3072, 768]
  • blk.5.ffn_up.bias
    F32
    [3072]
  • blk.5.ffn_up.weight
    F32
    [768, 3072]
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    F32
    [768]
  • blk.5.layer_output_norm.weight
    F32
    [768]
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    F32
    [768]
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    F32
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    F32
    [768]
  • blk.6.attn_output.weight
    F32
    [768, 768]
  • blk.6.attn_output_norm.bias
    F32
    [768]
  • blk.6.attn_output_norm.weight
    F32
    [768]
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    F32
    [768]
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    F32
    [768, 768]
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    F32
    [768]
  • blk.6.attn_v.weight
    F32
    [768, 768]
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    F32
    [768]
  • blk.6.ffn_down.weight
    F32
    [3072, 768]
  • blk.6.ffn_up.bias
    F32
    [3072]
  • blk.6.ffn_up.weight
    F32
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    F32
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  • blk.6.layer_output_norm.weight
    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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    F32
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